COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv

31,430 Articles (22,835 medRxiv, 8,595 bioRxiv)

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A theoretical analysis of the putative ORF10 protein in SARS-CoV-2
Schuster, N. A.
10.1101/2020.10.26.355784 — Posted: 2020-10-26
Clinical and laboratory characteristics in outpatient diagnosis of COVID-19 in healthcare professionals in Rio de Janeiro, Brazil
Porto, L. C., Costa, C. H., Nunes, A. S., Bouzas, I., Ferreira, T., Porto, V. M., Secco, D. A., COVID-19 PPC group, , Rufino, R.
10.1101/2020.10.22.20217851 — Posted: 2020-10-26
Lockdown related travel behavior undermines thecontainment of SARS-CoV-2
Kishore, N., Kahn, R., Martinez, P. P., De Salazar, P. M., Mahmud, A. S., Buckee, C.
10.1101/2020.10.22.20217752 — Posted: 2020-10-26
Hardness of Herd Immunity and Success Probability of Quarantine Measures: A Branching Process Approach
Nath, S. K.
10.1101/2020.10.22.20216481 — Posted: 2020-10-26
Characteristics associated with household transmission of SARS-CoV-2 in Ontario, Canada
Paul, L. A., Daneman, N., Brown, K. A., Johnson, J., van Ingen, T., Joh, E., Wilson, S. E., Buchan, S. A.
10.1101/2020.10.22.20217802 — Posted: 2020-10-26 Discussion: Offsite
Digital contact-tracing during the Covid-19 pandemic: an analysis of newspaper coverage in Germany, Austria, and Switzerland
Amann, J., Sleigh, J., Vayena, E.
10.1101/2020.10.22.20216788 — Posted: 2020-10-26
Severity of COVID-19 at elevated exposure to perfluorinated alkylates
Grandjean, P., Timmermann, C. A. G., Kruse, M., Nielsen, F., Vinholt, P. J., Boding, L., Heilmann, C., Molbak, K.
10.1101/2020.10.22.20217562 — Posted: 2020-10-26 Discussion: Onsite
Forecasting the spread of COVID-19 pandemic in Bangladesh using ARIMA model
Kundu, L. R., Ferdous, M. Z., Islam, U. S., Sultana, M.
10.1101/2020.10.22.20217414 — Posted: 2020-10-26
Measuring the Impact of Exposure to COVID-19 Vaccine Misinformation on Vaccine Intent in the UK and US
Loomba, S., de Figueiredo, A., Piatek, S., de Graaf, K., Larson, H. J.
10.1101/2020.10.22.20217513 — Posted: 2020-10-26
Coronavirus Disease (COVID-19) Global Prediction Using Hybrid Artificial Intelligence Method of ANN Trained with Grey Wolf Optimizer
Ardabili, S., MOSAVI, A., Band, S. S., Varkonyi-Koczy, A. R.
10.1101/2020.10.22.20217604 — Posted: 2020-10-26

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* The Clinical Trials and Epidemiology subject categories are now closed to new submissions following the completion of bioRxiv's clinical research pilot project and launch of the dedicated health sciences server medRxiv (submit.medrxiv.org). New papers that report results of Clinical Trials must now be submitted to medRxiv. Most new Epidemiology papers also should be submitted to medRxiv, but if a paper contains no health-related information, authors may choose to submit it to another bioRxiv subject category (e.g., Genetics or Microbiology).